جست‌وجوی استاد و پژوهشگر

• Multiphase Flow in Porous Media
• Phase-Field Modeling
• Reactive Transport
• +۶ مورد دیگر

Xiaojing (Ruby) Fu is an Assistant Professor of Mechanical and Civil Engineering at the California Institute of Technology and a William H. Hurt Scholar (2024-present). Her research focuses on multiphase fluid mechanics in porous media, integrating theory, computation, experiments, and field observations to address geoscience and engineering challenges. Her educational background includes: B.S. in Engineering from Clarkson University (2011) M.S. from Massachusetts Institute of Technology (2015) Ph.D. from Massachusetts Institute of Technology (2017) Professor Fu's research centers on cryosphere hydrology, subsurface engineering, and phase transitions in porous media. She investigates multiphase flow dynamics in contexts like permafrost thaw, snow metamorphism, and carbon sequestration using phase-field modeling and experimental techniques. Her work bridges fundamental physics with applications in environmental resilience and energy systems, emphasizing predictive capabilities for large-scale phenomena through simplified multiscale theories. Analysis of her 15 most recent publications reveals intense focus on cryosphere processes (snow, permafrost) using advanced phase-field modeling and fiber-optic sensing. Key trends include freezing infiltration patterns, meltwater transport in layered snow, and seismic monitoring of soil moisture. Her work increasingly integrates field validation with computational models for environmental applications like drought monitoring and carbon sequestration. Her scientific recognition includes: William H. Hurt Scholar (2024) Professor Fu actively mentors graduate students, as evidenced by qualified students in her research group. She teaches core courses including Thermal Science (ME 11 abc) and Computational Methods for Flow in Porous Media (ME/CE/Ge/ESE 146), training students in both theoretical foundations and applied techniques for subsurface flow problems. She leads the Fu Research Group on Mechanics and Physics of Porous Media Flow, which develops multiscale theories to predict large-scale environmental and energy system behaviors. The group combines mathematical modeling, laboratory experiments, and field observations to address problems in geologic carbon storage, cryosphere dynamics, and subsurface resource management, with recent emphasis on climate change impacts and monitoring technologies.

• Statistical Physics
• Complex Systems
• Thermodynamics
• +۲ مورد دیگر

Massimiliano Esposito is a Full Professor of Theoretical Physics at the University of Luxembourg, affiliated with the Faculty of Science, Technology and Medicine (FSTM) and the Department of Physics and Materials Science. His research focuses on statistical physics, complex systems, thermodynamics, chemical networks, and quantitative biology. He holds positions such as ERC Fellow (2016-2021) and Attract Fellow (2012-2017). Education includes a Ph.D. in Sciences (2004) and a degree in Chemistry (2000) from the Free University of Brussels (Belgium), alongside a European Baccalaureate (1996) from Luxembourg. His work bridges stochastic thermodynamics, quantum thermodynamics, and chemical reaction networks, with contributions to fluctuation theorems, energy transduction, and non-equilibrium systems. Key achievements include seminal papers on nonequilibrium fluctuation-response relations, quantum thermodynamics, and chemical reaction network theory. He has been a guest editor for journals like Physica A and Physical Review X, and serves on editorial boards such as Physical Review Letters. His lab explores emergent phenomena in complex systems, with applications in biology and nanotechnology.

• Nonequilibrium Statistical Physics
• Soft Matter
• Biological Physics
• +۴ مورد دیگر

Ramin Golestanian is a Professor at the University of Oxford since 2010 and has served as Director at the Max Planck Institute for Dynamics and Self-Organization since 2018. He is also an Honorary Professor at the University of Göttingen. His primary affiliation is with the Department of Living Matter Physics at the Max Planck Institute for Dynamics and Self-Organization in Göttingen, Germany. Golestanian obtained his BSc from Sharif University of Technology in Tehran, and his MSc and PhD from the Institute for Advanced Studies in Basic Sciences (IASBS) in Zanjan. His PhD work was conducted under the remote supervision of Mehran Kardar from MIT, followed by a postdoctoral fellowship at the Kavli Institute for Theoretical Physics at UC Santa Barbara. He held academic positions at IASBS and the University of Sheffield before becoming a Full Professor in 2007. Golestanian has a broad research interest in nonequilibrium statistical physics, soft matter, and biological physics. He is particularly distinguished for his pioneering work on active matter, including the development of microscopic swimmers and active colloids. His recent research focuses on non-reciprocal interactions in active matter systems, exploring how breaking action-reaction symmetry leads to novel self-organization phenomena. His work spans theoretical frameworks for understanding living matter from fundamental principles, with applications ranging from synthetic biology to understanding the origin of life. Golestanian is an elected Fellow of the American Physical Society and the Institute of Physics. His major awards include the Holweck Medal of the Société Française de Physique and the Institute of Physics, the EPJE Pierre-Gilles de Gennes Lecture Prize, the Martin Gutzwiller Fellowship of the MPI-PKS, the Nakamura Lecturer Award of UCSB, and the 50th-Anniversary Most Distinguished Alumni Award of Sharif University of Technology. As Director of the Max Planck Institute for Dynamics and Self-Organization, Golestanian leads research initiatives exploring the fundamental principles of self-organization in complex systems. His department, the Department of Living Matter Physics, investigates how physical principles govern living systems. He has delivered numerous invited lectures at prestigious institutions worldwide, including Cambridge University, Oxford University, and the Kavli Institute for Theoretical Physics.

Sarah A.M. Loosمشاهده پروفایل

پژوهشگر ارشد

• Stochastic Thermodynamics
• Non-Markovian Processes
• Nonreciprocal Systems
• +۵ مورد دیگر

Dr. Sarah A.M. Loos is a Research Fellow at the Department of Applied Mathematics and Theoretical Physics (DAMTP) at the University of Cambridge and a Research Fellow at Corpus Christi College, Cambridge. She holds a PhD in Physics (summa cum laude) from TU Berlin (2020), with postdoctoral research at ICTP (Trieste) and Leipzig University. Her research focuses on stochastic thermodynamics, non-Markovian processes, and nonreciprocal systems. She has received major awards including the Royal Society of Chemistry Early Career Award (2024) and Marie Skłodowska Curie Fellowship (2023). Education: PhD in Physics (2020, TU Berlin), Master's in Physics (2015, TU Berlin), Bachelor's in Physics (2012, TU Berlin). Research interests include entropy production in nonreciprocal systems, active matter, and control theory. She has organized workshops on adaptive dynamical systems and contributed to KITP programs on active solids. Publications span topics like optimal control at microscale, PT symmetry in non-Hermitian systems, and nonreciprocal heat transfer. Her work bridges statistical physics and nonlinear dynamics, with applications in biological and nanoscale systems. Awards: 8 major prizes including DPG and RSC recognitions Grants: MSCA Fellowship (€200k), DFG Walter-Benjamin Fellowship Labs/Teams: Active Matter Group at DAMTP, collaborations with Édgar Roldán and Klaus Kroy

Andreas Bauschمشاهده پروفایل

استاد

• Cellular Biophysics
• Molecular Biophysics
• Structural Biology
• +۶ مورد دیگر

Prof. Andreas Bausch holds the Heinz Nixdorf Endowed Chair of Cell Biophysics at the Technical University of Munich (TUM) within the TUM School of Natural Sciences . His research focuses on cellular biophysics , particularly the mechanical properties of cytoskeletal networks and self-organization mechanisms in biological systems, with applications in biomimetic materials and organoid modeling. Research Areas : Cytoskeletal mechanics, active matter systems, organoid morphogenesis, integrin signaling, synthetic cell models Techniques : Microrheology, in vitro reconstitution, microfluidics, advanced imaging His work has produced over 100 publications in Nature, Science, PNAS , and Physical Review Letters , with recent emphasis on pancreatic cancer organoids and artificial cell membranes . Key findings include: Discovery of topological excitations governing endothelial cell ordering Elucidation of PIP2/PIP3 regulation in integrin phase separation Development of 3D patterned organoid systems for drug screening Major awards include: ERC Synergy Grant (2018) ERC Advanced Grant (2012) ERC Starting Grant (2011) Berlin-Brandenburg Academy of Sciences Prize (2014) He serves as founding director of the Center for Functional Protein Assemblies (CPA) since 2015 and teaches biomechanics , biophysics , and protein assemblies at TUM. His lab investigates both fundamental biophysical principles and their medical applications in cancer and cardiovascular systems.

Benoît Mahaultمشاهده پروفایل

پژوهشگر

• Nonequilibrium Statistical Mechanics
• Active Matter
• Living Matter Physics
• +۵ مورد دیگر

Benoît Mahault serves as a Group Leader and Researcher at the Max Planck Institute for Dynamics and Self-Organization (Göttingen, Germany) within the Department of Living Matter Physics, where he directs the Motile active matter research group. His work bridges theoretical physics and biological complexity through nonequilibrium statistical mechanics. His academic background includes a Ph.D. from Université Paris-Saclay (2018) under Hugues Chaté, followed by a postdoctoral position at the University of Tokyo in Prof. Masaki Sano's group. He joined the Max Planck Institute in 2019 as a postdoc and was promoted to Group Leader in 2021. Dr. Mahault's research centers on emergent self-organization in active matter systems , with focus areas including: Transition mechanisms to collective motion Bose-Einstein-like condensation via motility inhibition Topological defect dynamics in active nematics Navigation strategies for microswimmers in complex environments His theoretical framework reveals universal principles governing both synthetic and biological active systems. Analysis of his 15 most recent publications (2022–2025) shows a cohesive trajectory exploring nonreciprocal interactions , quorum sensing , and energy-accuracy tradeoffs in active matter. Key themes include phase separation in driven mixtures, defect-mediated pattern formation, and hydrodynamic optimization of microswimmer locomotion—demonstrating consistent innovation at the physics-biology interface. The Motile active matter group employs advanced theoretical modeling to dissect self-organization principles, contributing foundational insights through collaborations with experimental teams at the Max Planck Institute. Current projects investigate non-equilibrium steady states in confined active systems and topological constraints in collective navigation.

Sarah Loosمشاهده پروفایل

پژوهشگر ارشد

• Stochastic Thermodynamics
• Non-Markovian Processes
• Active Matter
• +۴ مورد دیگر

Dr. Sarah Loos is an independent postdoctoral researcher at the Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge, and a Research Fellow at Corpus Christi College. Her work focuses on theoretical descriptions of nonequilibrium systems, integrating statistical physics, thermodynamics, control theory, and nonlinear dynamics. PhD in Statistical Physics (TU Berlin, 2020) Marie-Curie and DFG Walter-Benjamin Fellow Key research areas: stochastic thermodynamics, non-Markovian processes, active matter, nonreciprocal systems Her research explores entropy production, time-reversal asymmetry, and collective dynamics in active matter. She has received multiple awards, including the Royal Society of Chemistry's Early Career Award (2024) and Springer Thesis Award (2020). Recent publications emphasize nonreciprocal interactions, optimal control protocols, and memory effects in complex systems. Scientific Awards: Early Career Award (2024) Marie-Skłodowska-Curie Fellowship (2022) DFG Walter-Benjamin Fellowship (2022) SKM Dissertation Prize (2021) Carl Ramsauer Preis (2020) EPL Poster Prize (2019) Her work has been supported by the Joachim-Herz Stiftung (2022) and Studienstiftung des Deutschen Volkes (2013-2015). Collaborations span institutions like ICTP Trieste, Leipzig University, and Duke University.

John F. Bradyمشاهده پروفایل

استاد

• fluid mechanics
• transport processes
• complex and multiphase fluids

John F. Brady is the Chevron Professor of Chemical Engineering and Mechanical Engineering at the California Institute of Technology. He earned his B.S. from the University of Pennsylvania (1975), M.S. (1977) and Ph.D. (1981) from Stanford University, and has held academic roles at Caltech since 1985, including Executive Officer for Chemical Engineering (1993-99; 2013-19). His research focuses on fluid mechanics, transport processes, and complex/multiphase fluids. Elected to the National Academy of Sciences (20XX) Elected to the American Academy of Arts and Sciences (20XX) Brady's publications reveal expertise in active matter dynamics, microrheology, and non-equilibrium systems. His work spans fundamental fluid mechanics to applied biomedical device design, with a strong emphasis on computational modeling and experimental validation in colloidal and soft matter physics.

Oskar Hallatschekمشاهده پروفایل

دانشیار

• Biological Physics
• Evolutionary Dynamics
• Population Genetics
• +۳ مورد دیگر

Oskar Hallatschek is an Associate Professor and McAdams Chair in the Department of Physics and Integrative Biology at the University of California, Berkeley. His research focuses on biological physics and evolutionary dynamics, particularly how collective patterns emerge from heterogeneous microbial populations. He leads the Hallatschek Lab, which maintains collaborations with institutions like the University of Leipzig. Research Emphasis: Microbial systems, population genetics, non-equilibrium statistical physics, evolutionary adaptation, and mechanical interactions in cellular populations. Publications span journals like Nature , PNAS , and Science , with recent work on allele surfing, jamming in microbial colonies, and long-range dispersal effects. Grants: Supported by NIH and NSF, as indicated by institutional logos in the lab web presence.

Jorge Viñalsمشاهده پروفایل

استاد

• Soft Matter Physics
• Materials Science
• Biomechanics
• +۵ مورد دیگر

Jorge Viñals is a Professor at the School of Physics and Astronomy , University of Minnesota, and Director of Graduate Studies. His research focuses on theoretical and computational studies of nonequilibrium phenomena in extended systems, with applications to Soft Matter Physics, Materials Science, and Biomechanics. Affiliation: Director of Graduate Studies, School of Physics and Astronomy Institution: University of Minnesota Collaborations: Minnesota Supercomputing Institute, University of Oslo, Cornell, Carnegie Mellon His work examines mesoscale theories of systems outside thermodynamic equilibrium, particularly unstable interfaces and moving topological defects. Current projects include studies of chiral symmetry breaking in nematic liquid crystals, field dislocation mechanics in defected solids, and biomechanics of epithelial tissue with orientational order. Recent publications highlight computational approaches to nematic defect structure , topological charge quantification , and plasticity modeling . Key journals include Soft Matter , Proceedings of the Royal Society A , and Physical Review B . Key collaborators: Lucas Myers, C.D. Schimming, Luiza Angheluta, Manas Upadhyay Grants: NSF-funded projects on active matter and liquid crystal dynamics, Department of Defense research on intraosseous catheters

• Geomaterials Physics
• Soft Matter
• Structured Materials
• +۱۳ مورد دیگر

Dr. Nicolas Francois is an Associate Professor in the Department of Materials Physics at Australian National University (ANU), specializing in experimental geomaterials physics, soft matter, and fluid hydrodynamics. He leads the X-ray Tomography and Applications Research Group, combining curiosity-driven and applied research in out-of-equilibrium systems. ARC Industry Fellow (2024-2030): Improving Australian iron ore comminution for green steel production ARC DECRA Fellow (2016-2018): Biofilms in two-dimensional turbulent flows His research spans fundamental questions in: Fragmentation of solid materials Autonomous devices powered by chaotic flows Hydrodynamic waves Stochastic thermodynamics Granular matter Polymer rheology and applied areas in: Comminution of geomaterials Mechanics of fractured rocks Wave-energy conversion Environmental fluid mechanics Publications reveal a trajectory focused on X-ray tomography applications, granular dynamics, and turbulence-driven systems. He utilizes advanced imaging techniques to study material failure mechanisms and fluid-structure interactions, contributing to fields ranging from green steel production to biofilm dynamics. Current student projects and grants emphasize sustainable resource processing and fundamental fluid physics.

Michael Catesمشاهده پروفایل

استاد

• Soft Matter Physics
• Rheology
• Active Matter
• +۴ مورد دیگر

Michael Cates is the Lucasian Professor of Mathematics at the University of Cambridge, leading the Soft Matter research group in the Department of Applied Mathematics and Theoretical Physics (DAMTP). He has held prestigious roles, including Royal Society Research Professor (2007-2022) and Professor of Natural Philosophy at the University of Edinburgh (1995-2015). His research focuses on soft matter physics, active matter, rheology, and non-equilibrium statistical physics, with a recent ERC Advanced Grant on Active and Driven Systems. Cates has received awards such as the Bingham Medal (2016), Dirac Medal (2009), and recognition by the US National Academies of Sciences and Engineering. His research interests span the flow dynamics of colloids, polymers, and gels; shear-thickening rheology; and theoretical models of active matter, including phase separation and collective motion. He also contributed to pandemic modeling during the RAMP initiative. His work bridges fundamental physics with applications in materials science and biophysics. Grants & Awards: ERC Advanced Grant (ADNeSP, completed) Royal Society Research Professorship (2007-2022) Over 11 major scientific awards, including Bingham Medal and Dirac Medal Labs & Teams: Heads the Soft Matter group at DAMTP, collaborating on interdisciplinary projects in active matter and complex fluids.

Yao Liمشاهده پروفایل

دانشیار

• Applied Probability
• Applied Dynamical Systems
• Numerical Analysis
• +۴ مورد دیگر

Yao Li is an Associate Professor in the Department of Mathematics and Statistics at the University of Massachusetts Amherst. He holds a Ph.D. in Mathematics from Georgia Institute of Technology (2012) and previously served as a Courant Instructor at New York University’s Courant Institute. His research focuses on applied probability, dynamical systems, numerical analysis, and their intersections with machine learning, neuroscience, and statistical mechanics. He has contributed to understanding stochastic dynamics, invariant measures, and the mathematical foundations of machine learning. His work bridges theoretical mathematics with interdisciplinary applications in biology, physics, and engineering. Education : Ph.D. in Mathematics, Georgia Institute of Technology, 2012 Courant Instructor, Courant Institute of Mathematical Sciences, New York University Research Interests : Dr. Li’s research spans applied probability, dynamical systems, and numerical analysis. Key areas include: Machine learning and data-driven computational methods Neuroscience modeling (spiking neural networks, cortical processing) Nonequilibrium statistical mechanics (thermodynamic laws, energy exchange models) Stochastic processes and their ergodic properties His work emphasizes rigorous mathematical analysis combined with numerical simulations, addressing challenges in high-dimensional stochastic systems. Teaching & Advising : He teaches advanced courses such as Numerical Analysis, Applied Math Project Seminar, and Statistics. While specific student advisees are not listed, his research group likely engages graduate students in interdisciplinary projects. His courses integrate theoretical concepts with real-world applications, reflecting his research focus on computational and applied methods. Labs/Teams : Dr. Li’s research is conducted within the Department of Mathematics and Statistics at UMass Amherst, collaborating with institutions like the Courant Institute and Georgia Tech. His work often involves interdisciplinary teams addressing problems at the intersection of mathematics, physics, and biology.

David A. Egolfمشاهده پروفایل

دانشیار

• computational physics
• nonequilibrium systems
• spatiotemporal chaos
• +۶ مورد دیگر

David A. Egolf is an Associate Professor in the Department of Physics at Georgetown University, specializing in computational physics with a focus on systems maintained far-from-equilibrium. His research spans fluid dynamics, granular materials, biophysics, and statistical mechanics, employing nonlinear dynamics and large-scale computation to understand complex phenomena. His educational background includes undergraduate and doctoral studies at Duke University, where he earned his PhD in Physics with a thesis on Characterizations of Extensively Chaotic States and Transitions . Prior to Georgetown, he held postdoctoral positions at Cornell University's Cornell Theory Center and Los Alamos National Laboratory's Center for Nonlinear Studies. Egolf's research interests center on spatiotemporal chaos and nonequilibrium systems. He investigates how localized events determine the evolution of complex systems, with applications ranging from fluid convection to fibrillating heart tissue. His work reveals that seemingly chaotic systems often contain predictable elements around specific critical events, providing pathways to develop a statistical mechanics for nonequilibrium phenomena. His publication record shows consistent contributions to understanding dynamical systems, with recent work focusing on granular jamming transitions, biopolymer networks, and QCD calculations. The research demonstrates recurring themes of identifying fundamental building blocks within chaotic systems and establishing connections between nonequilibrium behavior and equilibrium statistical mechanics. Alfred P. Sloan Research Fellow Software of the Year Award (1984) for AtariLab Science Series Egolf has successfully mentored numerous undergraduate researchers at Georgetown, supervising over a dozen senior theses with several students receiving departmental awards and honors. His research has been supported by major funding agencies including the National Science Foundation, Research Corporation, NASA, and the Alfred P. Sloan Foundation. He maintains an active collaboration with experimental physicist Jeffrey Urbach, combining theoretical and experimental approaches to study driven granular systems and biophysics. His laboratory work focuses on computational modeling of nonequilibrium systems, utilizing large computer clusters to simulate complex phenomena across multiple scales. Current projects include studying granular systems driven by both shaking and shearing to introduce multiple time-scales, and investigating biopolymer networks relevant to cellular mechanisms.

Philip Johnsonمشاهده پروفایل

استاد

• Quantum Computing
• Theoretical Physics
• Condensed Matter Physics
• +۳ مورد دیگر

Philip Johnson is a Professor and Chair of the Department of Physics at American University (AU), where he has been since 2006. He also serves as Director of the Integrated Space Science and Technology Institute (ISSTI), supporting over 20 AU faculty and external partners like NASA's Goddard Space Flight Center. His research focuses on quantum computing, superconducting qubits, ultracold atoms, and effective interactions in few-body systems. He holds a PhD in Theoretical Physics from the University of Maryland and completed postdoctoral work at NIST and the University of Maryland's superconducting quantum computing group. His academic leadership roles include Associate Dean of Research for AU's College of Arts and Sciences and service on the American Physical Society's council. His research explores quantum control, nonequilibrium dynamics, and applications in quantum sensing and metrology. Key areas include ultracold bosons in optical lattices, nonlocal interactions, and hybrid machine learning approaches for quantum systems. He collaborates with institutions like the Joint Quantum Institute and Johns Hopkins Applied Physics Laboratory. Johnson's recent work advances theoretical frameworks for few-atom systems and superconducting qubits, with publications addressing topics like topological properties of interactions and correlations in quantum systems. His contributions span experimental and theoretical physics, emphasizing interdisciplinary applications in space science and technology through ISSTI.